A meta-cognitive learning algorithm for an extreme learning machine classifier

This paper presents an efficient fast learning classifier based on the Nelson and Narens model of human meta-cognition, namely ‘Meta-cognitive Extreme Learning Machine (McELM).’ McELM has two components: a cognitive component and a meta-cognitive component. The cognitive component of McELM is a thre...

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Bibliographic Details
Main Authors: Suresh, Sundaram, Savitha, R., Kim, H. J.
Other Authors: School of Computer Engineering
Format: Journal Article
Language:English
Published: 2013
Subjects:
Online Access:https://hdl.handle.net/10356/101260
http://hdl.handle.net/10220/16777